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cs.LG2026
A Qualitative Test-Risk Mechanism for Scaling Behavior in Normalized Residual Networks
Daning Cheng, Zeyu Liu, Jun Sun +4
The scaling behavior, in which test performance often improves as model size and data increase, is a central empirical phenomenon in modern deep learning, yet its theoretical basis…
cs.LG2016★ 19 cited
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization
Shun Zheng, Jialei Wang, Fen Xia +2
In modern large-scale machine learning applications, the training data are often partitioned and stored on multiple machines. It is customary to employ the "data parallelism" appro…